The algorithm was able to identify the runway from a distance based on expected features, track the runway as the aircraft approached while accurately providing aircraft pose (position and heading) relative to the runway. It could do this until touchdown and into roll-out, providing a safe landing for the aircraft using video taken from a real aircraft landing.

The blocks were refined and optimized, and as a result were able to process the video as fast as it arrived, at 30 frames per second. The overall generated certifiable software provided inputs to the autopilot for steering corrections at 30 Hz.

The algorithm designed by the K.U.Leuven was rewritten in the Sol syntax, and compiled to the target platform into a DO-178C DAL A certifiable application.

The algorithm is built from computer vision blocks, defined by the K.U.Leuven. These computer vision primitives were implemented in the Sol language for the SolAero platform.

The Sol language is a software modelling environment that allows to automatically generate certified software. Originally  designed for path planning, aircraft control, and HMI, the language was extended to also be able to express computer vision algorithms, allowing the landing algorithm to be modelled in Sol.

The computer vision part of the IMBALS program ran on Sol.One's SolAero, which is a DAL A certifiable platform.